Jobs at Ocient

Creates technical documentation for Ocient’s unified data platform, especially data-loading functionality. Partners with engineers, product managers, and subject matter experts to gather requirements, manage writing timelines and review cycles, communicate progress, and deliver accurate, user-focused content. The role requires strong technical writing, organization, collaboration, and project management skills, with familiarity in databases or data warehouses. AI, SQL, Markdown, docs-as-code, and technical diagram experience are advantageous.

Lead Ocient’s National Security Solutions sales segment by executing the go-to-market plan, generating pipeline, closing business, building and coaching a high-performing sales team, improving forecasting discipline, and partnering with the Solutions leader on a unified demo-led sales motion. The role reports to the CRO and requires experience selling into national security, defense, or intelligence markets, along with the ability to obtain a federal security clearance.

Lead product strategy and roadmap for Ocients database solutions. Translate customer problems into feature specifications, prioritize high-value work, collaborate with technical PMs, sales, and marketing, drive complex projects to delivery, and engage directly with customers and partners on large-scale data ingest, warehousing, and analytics use cases.

Lead technical strategy and win execution for CSP opportunities: run discovery workshops, design OcientAIQ hybrid architectures, integrate with cloud data/AI ecosystems, orchestrate partners, author customer specifications, support pilots and production sizing, and translate field feedback into product and engineering improvements.

C-suite HR leader responsible for people strategy, workforce planning, org design, talent acquisition, leadership development, total rewards, HR operations, compliance, and employee relations. Build and mentor a lean HR team, implement HRIS and people analytics, advise the CEO and Board, and scale people systems for rapid growth and pre-IPO readiness.

Build and expand in-database ML model catalog: implement new model types, ensure framework parity with scikit-learn/Spark ML, optimize training and inference at petabyte scale, extend SQL-level linear algebra, and collaborate across teams to deliver correct, performant ML features and documentation.

Extend and harden Ocient's native geospatial engine: implement and optimize 120+ spatial functions, ensure spherical/geodetic numerical correctness, improve spatial indexing and query performance at trillion-row scale, deepen spatiotemporal operators (trajectory/interpolation), integrate geospatial features with the analytical engine, and produce design docs, tests, and benchmarks.